Patient Data Curation via Consent Keys and Utilization Reports
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Solution Overview
Problem
Healthcare facilities face challenges in efficiently managing and tracking the utilization and access of patient health data across different systems, leading to concerns about data privacy and consent management.
Innovation Solution
A data propagation reporting system that generates utilization reports by annotating patient data with access, inclusion, and contribution information, and a health data management system that handles consent keys for secure access and modification of patient data across external systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If patient data is shared across multiple healthcare systems, then data utilization and accessibility are improved, but data privacy and security risks increase
Solution Approach 1:
The patent implements a consent management system that acts as an intermediary between healthcare systems and patient data. The system uses consent keys and propagation reports to mediate data access requests, ensuring that only authorized systems can access patient data while maintaining security. The consent key mechanism serves as a trusted intermediary that verifies data sharing permissions without exposing raw patient information.
Solution Approach 2:
The patent employs propagation reports that provide feedback about data usage across healthcare systems. These reports track and report back to the consent management system about how patient data is being utilized, allowing for continuous monitoring and control of data sharing. This feedback mechanism enables the system to maintain security while facilitating data accessibility.
2Loss of information
If comprehensive tracking of patient data utilization is implemented, then transparency and control are improved, but system complexity increases
Solution Approach 1:
The patent segments the data tracking function into separate propagation reports that are generated independently for different data access events. Each report contains specific information about data usage without requiring a monolithic tracking system. This segmentation allows comprehensive monitoring while keeping individual tracking components simple and manageable.
Solution Approach 2:
The patent creates simplified copies of data access information in the form of propagation reports. Rather than implementing complex real-time tracking of all data operations, the system generates representative reports that capture essential utilization information. These reports serve as simplified representations that provide transparency without requiring intricate tracking infrastructure.
3Reliability
If consent management is centralized across external systems, then data security is improved, but access time and operational overhead increase
Solution Approach 1:
The patent implements preliminary consent management by obtaining and storing consent keys before actual data access occurs. The system proactively manages patient consent preferences and generates consent keys in advance, so that when data access is needed, the verification process is already prepared. This preliminary action reduces access time while maintaining centralized security control.
Solution Approach 2:
The consent management system enables self-service mechanisms where patient consent preferences are stored and automatically verified by the system. Once consent is initially granted and recorded, the system autonomously handles subsequent verification without requiring repeated manual intervention. This self-service approach maintains security while reducing operational overhead and access delays.
Data Source
AI summary
A medical data processing system may associate a utilization score of a dataset with data in the dataset. For example, the medical data processing system may obtain a dataset including medical data. The medical data processing system may obtain an indication of a control program, and determine, for the control program, a utilization score of the dataset. The medical data processing system may associate the utilization score with the medical data in the dataset. The utilization score may indicate a level of valuableness of the dataset to the control program. For example, the medical data processing system may determine metadata associated with the dataset, retrieve the metadata associated with the dataset from a metadata repository, and determine the utilization score of the dataset based on the metadata associated with the dataset.